Scan statistics analysis of forest fire clusters
Détails
ID Serval
serval:BIB_099CED05A619
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Scan statistics analysis of forest fire clusters
Périodique
Communications in Nonlinear science and Numerical Simulation
Statut éditorial
Publié
Date de publication
2008
Peer-reviewed
Oui
Volume
13
Pages
1689-1694
Langue
anglais
Résumé
Spatio-temporal clusters in 1997?2003 fire sequences of Tuscany region
(central Italy) have been identified and analysed by using the scan
statistic, a method which was devised to evidence clusters in epidemiology.
Results showed that the method is reliable to find clusters of events
and to evaluate their significance via Monte Carlo replication. The
evaluation of the presence of spatial and temporal patterns in fire
occurrence and their significance could have a great impact in forthcoming
studies on fire occurrences prediction.
(central Italy) have been identified and analysed by using the scan
statistic, a method which was devised to evidence clusters in epidemiology.
Results showed that the method is reliable to find clusters of events
and to evaluate their significance via Monte Carlo replication. The
evaluation of the presence of spatial and temporal patterns in fire
occurrence and their significance could have a great impact in forthcoming
studies on fire occurrences prediction.
Mots-clé
Fires, Scan statistics
Création de la notice
25/11/2013 17:18
Dernière modification de la notice
20/08/2019 12:31
Données d'usage
